MCBDD 2022 Module III: Offline activity
Dear students of MCBDD,

Please find below the offline activity for Module II. You have to finish it before June 18th, 2022 (Saturday), in order to get credits.

The task: question-guided learning of factor analysis. Use your favorite literature programming tools (i.e. Rmarkdown/Jupyter Notebook) to investigate the topic of factor analysis. Answer the questions below.

Best regards,
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Given Name *
Family Name *
Question 1: what is factor analysis *
Question 2: What are the relationships between covariance matrix, factor analysis, and principal component analysis (PCA)? *
Question 3: what do we mean with loadings? *
Question 4: Why factors are orthogonal to each other? What’s the consequence?
Question 5: Why factor analysis can be used as a generative model?
Question 6: What is the relationship between factor analysis and autoencoder?
Question 7: how would you explain factor analysis to yourself half year ago?
Please put your code in GitHub or GitLab or other code-hosting service and paste the link below.
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